Dubai, UAE – April 15, 2026 — Kings Research today announced its new report, “Global AI-Powered Threat Detection and Response Market: Size, Share, Trends & Forecast 2025–2032.” The report provides comprehensive insights into AI-driven cybersecurity solutions, including segmentation by organization size and end-user, regional dynamics, and strategic developments by leading market players. It is designed to support enterprises, cybersecurity vendors, IT leaders, and regulatory bodies in navigating the evolving threat landscape.
According to Kings Research, the global AI-powered threat detection and response market was valued at USD 5.59 billion in 2024 and is projected to grow from USD 6.56 billion in 2025 to USD 23.52 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 20.00% during the forecast period.
AI-powered threat detection and response refers to the use of artificial intelligence and machine learning technologies to identify, analyze, and mitigate cybersecurity threats in real time. These systems enhance traditional security frameworks by enabling predictive analytics, automated incident response, anomaly detection, and faster remediation, making them critical in addressing increasingly sophisticated cyberattacks across industries.
Kings Research underscored several key trends influencing the growth of the AI-powered threat detection and response market. These include:
● Escalating Global Cybercrime Costs
The rising financial impact of cybercrime is significantly driving the adoption of AI-based security solutions. According to the Federal Bureau of Investigation (FBI) Internet Crime Complaint Center (IC3), reported cybercrime losses in the U.S. exceeded USD 12.5 billion in 2023, reflecting a sharp increase in both frequency and severity of attacks. This growing threat landscape is compelling organizations to invest in advanced AI-driven detection and response systems.
● Surge in Data Breaches and Security Incidents
The increasing volume of data breaches is accelerating demand for proactive cybersecurity tools. The Identity Theft Resource Center (ITRC) reported 3,205 publicly disclosed data compromises in the U.S. in 2023, marking one of the highest levels on record. AI-powered systems help organizations detect anomalies early and reduce breach impact through automated responses.
● Growing Digital Transformation and Cloud Adoption
Rapid digital transformation and cloud migration are expanding the attack surface for enterprises. Cloud security is a major cybersecurity challenge, emphasizing the need for intelligent threat detection systems in hybrid and multi-cloud environments. AI-based tools provide scalable and adaptive security for complex IT infrastructures.
● Shortage of Cybersecurity Professionals
The global shortage of skilled cybersecurity professionals is driving the need for automation. According to the International Information System Security Certification Consortium (ISC²), the global cybersecurity workforce gap exceeded 4 million professionals in 2023. AI-powered platforms help bridge this gap by automating threat detection and response processes, reducing reliance on manual intervention.
● Rising Adoption of Zero Trust Security Models
Governments and enterprises are increasingly adopting Zero Trust architectures to enhance cybersecurity resilience. Zero Trust is a critical framework for modern security strategies. AI plays a key role in continuously monitoring user behavior and enforcing dynamic access controls within these models.
For CISOs, CIOs, CTOs, SOC leaders, and cybersecurity professionals, AI-powered threat detection and response solutions deliver critical strategic advantages:
Enhanced Threat Detection: AI algorithms identify patterns and anomalies in real time, improving detection accuracy and reducing false positives.
Faster Incident Response: Automated response mechanisms enable rapid containment and mitigation of cyber threats, minimizing damage.
Scalability: AI-driven systems can scale across complex and distributed IT environments, including cloud and hybrid infrastructures.
Cost Efficiency: Reducing reliance on manual security operations lowers operational costs and improves resource utilization.
Regulatory Compliance: Advanced monitoring and reporting capabilities support compliance with evolving data protection regulations.
Regional Outlook
North America: North America dominates the market due to strong cybersecurity infrastructure, high adoption of AI technologies, and increasing regulatory focus on data protection. The presence of leading cybersecurity firms further strengthens regional growth.
Asia-Pacific: Asia-Pacific is projected to be the fastest-growing region, driven by rapid digitalization, increasing cyber threats, and government initiatives to strengthen cybersecurity frameworks across emerging economies.
Competitive Landscape
Kings Research identifies key players in the AI-powered threat detection and response market, including CrowdStrike, Palo Alto Networks, Darktrace Holdings Limited, SentinelOne, Cisco Systems, Inc., Fortinet, Inc., Vectra AI, Inc., Check Point Software Technologies Ltd., Splunk LLC, Rapid7, Abnormal AI, Inc., Cybereason, Musarubra US LLC, Recorded Future, and Sophos Ltd.
These companies are focusing on integrating advanced AI and machine learning capabilities into their cybersecurity platforms to enhance threat intelligence, automate response mechanisms, and deliver real-time protection. Strategic partnerships, acquisitions, and continuous innovation remain central to maintaining competitive advantage in this rapidly evolving market.
To request a free sample or to access the full “Global AI-Powered Threat Detection and Response Market: Size, Share, Trends & Forecast 2025–2032” report, please visit: https://www.kingsresearch.com/report/ai-powered-threat-detection-and-response-market-3044
About Kings Research
Kings Research is a global research and consulting firm that helps organizations navigate emerging markets, evaluate opportunities, and make data-driven decisions.
All market data are sourced from Kings Research proprietary analysis, validated against credible government publications and peer-reviewed research papers. Examples cited include: U.S. Federal Bureau of Investigation (IC3), Identity Theft Resource Center (ITRC), European Union Agency for Cybersecurity (ENISA), Cybersecurity and Infrastructure Security Agency (CISA), and ISC² cybersecurity workforce study.